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Research on CBM information system architecture based on multi-dimensional operation and maintenance data

机译:基于多维运维数据的煤层气信息系统架构研究

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Condition Based Maintenance(CBM) is a preventive maintenance strategy based on the actual running state of equipment. There are some deficiencies in the implementation of traditional CBM method. Firstly, how to acquire data used by CBM reasonably and improve the data coverage of equipment information is a problem to be solved. Secondly, the CBM method is still a maintenance strategy, when facing the different types of data, how to manage these data with characteristics of multi-sources, heterogeneous and different time scales for convenient searching and data processing also need to be studied. At the same time, how to choose a reasonable model to deal with this data, and then quickly give the maintenance strategy to the staff is another problem. Above all, this paper presents an CBM information system architecture based on multi-dimensional operation and maintenance data, including extensible data acquisition method; data management method based on Ontology Modeling and data processing method based on model selection. The architecture proposed sets data acquisition, data management and data analysis in one system, effectively integrating available information and making the whole analysis process becomes simple, and shortening the analysis process and improving the efficiency of data analysis through computer technology and information technology.
机译:基于状态的维护(CBM)是基于设备实际运行状态的预防性维护策略。传统CBM方法的实现存在一些不足。首先,如何合理地获取煤层气使用的数据并提高设备信息的数据覆盖率是一个亟待解决的问题。其次,CBM方法仍然是一种维护策略,当面对不同类型的数据时,如何研究具有多源,异构和不同时标的特征如何管理这些数据,以方便搜索和数据处理。同时,如何选择一个合理的模型来处理这些数据,然后快速将维护策略提供给员工是另一个问题。首先,本文提出了一种基于多维运维数据的煤层气信息系统架构,包括可扩展的数据采集方法。基于本体建模的数据管理方法和基于模型选择的数据处理方法。提出的体系结构将数据采集,数据管理和数据分析设置在一个系统中,有效地集成了可用信息,并使整个分析过程变得简单,并通过计算机技术和信息技术缩短了分析过程并提高了数据分析的效率。

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